Jobs at Snorkel AI

The Senior Backend Engineer will develop and maintain systems for the Expert Contributor Platform, focusing on automated workflows and integrations, while also leading CI/CD efforts and enhancing user experiences for data management in AI workflows.

Senior individual contributor to build and maintain AI-first analytics: semantic layer, LLM tooling, evals, and agents; define taxonomy/ontology; architect demand/supply models; identify high-leverage data opportunities and partner with stakeholders across the company.

The Software Engineer will build and maintain data infrastructure, implement event-driven data flows, enhance data governance, monitor performance, and optimize costs.

As Operations Manager, you will oversee staffing, capacity planning, and the operational processes of the AI delivery organization, ensuring effective execution and financial performance.

The Product Marketing Manager will lead go-to-market execution for the frontier lab business, driving launches, enablement, campaigns, and competitive intelligence while partnering with sales and research teams.

Lead month-end close, prepare journal entries, reconciliations, and financial statements; research and document complex U.S. GAAP technical accounting issues (ASC 606/842/718), support audits, implement controls, partner cross-functionally, and build scalable accounting processes for a high-growth SaaS/AI company.

Lead a research team to design frontier AI datasets and benchmarks, collaborate with academia and industry, define roadmap and dataset quality, support GTM, mentor researchers, and track RL, agentic evaluation, and benchmarking research to improve model performance.

The Research Scientist will develop and implement reinforcement learning techniques, build data pipelines, and collaborate with teams to create training datasets for large language models, contributing to Snorkel's data offerings and publications.

The Senior Software Engineer will lead the Developer Experience team, focusing on improving build, test, and CI/CD systems, mentoring engineers, and integrating AI tools to enhance development workflows.

Lead and scale Snorkel AI's technical recruiting function: build and manage a team of recruiters and sourcers, own hiring strategy and operating model, partner with technical leaders, design sourcing and pipeline strategies, use data to optimize hiring metrics, coach interviewers, and represent the company externally to attract top technical and AI talent.

The Senior Product Manager will lead development for AI data systems, ensuring product quality, improving workflows, and collaborating with cross-functional teams to deliver scalable solutions.

Lead and grow a forward-deployed research team while doing hands-on technical work with strategic accounts. Scope training data needs, design RL environments, build evaluation frameworks, set spec and delivery standards, partner with sales and engineering, and handle high-stakes technical escalations.

Design and develop core platform features for synthetic data generation, LLM operations, and agentic workflows. Oversee API design and scalable compute services, enhancing AI model performance for enterprise clients.

Partner with Sales to lead technical discovery and scoping, design GenAI solution architectures, build bespoke demos and prototypes (RAG, fine-tuning, agents), author proposals and SOWs, capture reusable patterns into reference assets, and support handoffs to delivery teams. Requires up to 25% annual travel.

Lead global supply strategy for a Data-as-a-Service marketplace: build and scale a distributed expert-contributor network, manage BPO and partnership ecosystems, drive predictive capacity planning, expand internationally, optimize multi-channel supply growth, partner cross-functionally on EC experience and GTM, and hire and grow the supply team.

Lead and build TA operations: own recruiting tech stack and ATS, design scalable processes, reporting, and SLAs, use data and AI to improve hiring speed and quality, manage stakeholder partnerships and vendor integrations, and ensure data integrity across recruiting systems.

Lead the Forward Deployed Engineering function, overseeing technical execution of data services and building a high-performing engineering team focused on AI data pipelines and workflows.

Lead a team in developing data-centric AI systems, bridging research and product, and ensuring operational excellence in AI projects.

The Senior/Staff Research Scientist will develop and implement AI techniques, prototype solutions, and collaborate with teams to apply research in real-world settings.

Lead and manage end-to-end U.S. and international payroll, compliance, and benefits operations. Own payroll processing in Rippling, coordinate with global payroll/EOR providers, handle payroll accounting and reconciliations, ensure multi-jurisdictional tax and regulatory compliance, administer benefits and retirement plan activities, and support audits and process improvements to scale payroll operations.